Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.
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Updated
Jun 14, 2024 - Jupyter Notebook
Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.
Encyclopedic Hub for Sentiment Dictionaries
Sentiment Analysis & Monte Carlo Tree Search with Nested Rollout Policy Adaptation for Business
Sentiment analysis of Apple Vision Pro tweets using multiple models
Polarity prediction of tweets in Mexican Spanish using RNNs and word embeddings in PyTorch
Sentiment analysis :Joe Biden's statements of 18th January,2024.
This is an extensive sentiment analysis spanning 10 years of text data harvested accros major social media platforms across the world. However, the focus of the analysis was streamed down to focus on two countries of the woord: USA and Canada.
Dictionary based Sentiment Analysis for Japanese
A sentiment analysis tool made with python that currently works with text and articles from the web
Sentiment Analysis with Word2Vec and LSTM implemented in Streamlit
In this project a streamlit app is created in which user can upload any english language audio file to get its transcripts, sentiment analysis report, list of statements according to its nature like positive, negative or neutral and at last extractive summary of the whole audio.
Repository with all what is necessary for sentiment analysis and related areas
Sentiment analysis on Amazon customer reviews and analyzing customer behavior using NLTK and wordclouds
sentiment analyser using nltk
Python module to get Sentiment Rankings for Unicode Emojis
Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.
Sentiment analysis on products reviews with Vader and Distilbert
Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)
Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
Set of sentiment lexicons of Latin adjectives and nouns.
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